The team can simultaneously calculate multiple datasets efficiently through the user-friendly interface of IBM SPSS Statistics. By avoiding legacy scales for container data collection, they can harness its capabilities for streamlined data analysis using SPSS. As a faculty member, I appreciate how IBM SPSS optimizes my resource allocation, making it one of the best investments in terms of time and money for conducting research.

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

IBM SPSS Modeler is a set of data mining tools that enable us to develop predictive models. It has both statistical techniques (like regression techniques) or non statistical techniques (like Classification trees , Neural networks etc.). It doesn’t contain mainly the Nonparametric tests, may be because it depends on small samples.

It has automation nodes that helps non-experts to pick the best technique.

On the other hand, IBM SPSS Statistics is used mainly to analyze data, weather it is a small or large sample. If it is small (and drawn from non-normal population), then we must use the non-parametric tests. It has “automated” non-parametric tests to be use by both experts and non-experts.

Beside its main use for data analysis, it has also some modeling techniques like automatic linear modeling, Classification trees and Neural networks.

Some time I have used it RFM analysis, in sales. It has given good insight for improvement

Similar to other tools, we can identify the pattern of the customers and we can differentiate between which customers we should target, which customer we should not target, and do some basic analysis. I think that's the thing that helps our organization.

We can provide internal benchmarks that allow specific units to compare themselves to others and the whole organization.

It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation.

Once I joined an organization, I stopped using SPSS entirely. Who needs to spend thousands on a license for halfway decent software when R and Python work for free?